Energy Markets

Development of short- and long-term scenarios for energy markets (e.g. price scenarios)
Data analysis and statistical learning approaches for forecasting applications
Optimization tools and algorithms in the energy sector
Techno-economic cost-benefit analysis in the energy sector (macro- & micro-economic CBA)
Investment decision support for utilities, prosumers, investors and system operators
Policy support and recommendations for decision makers
Integration of prosumer flexibility into the market and grid
Qualitative and quantitative analysis of electricity market design (energy-only versus capacity market, balancing market)
Analysis of capacity expansion planning under consideration of risk assessment

Modeling of energy systems
Development of business models
Agent-based modeling of electricity markets (agents e.g. aggregators, regulators)
Evaluation of energy price development, capacity expansion and investment decisions
Development of a comprehensive database (resources on supply, demand and flexibility)

Energy system and market models are important decision-support tools for a successful transition
Such models and methodologies enable the analysis of future development and the description of pathways through scenarios
New business models are one of the main drivers for different actors to invest in new technologies and apply new concepts

Short, medium and long term portfolio optimization in terms of generation and flexibility options
Energy price forecasting
Cost-benefit analysis, decision support, strategy development
Consulting services for utilities, grid operators, regulators and policy makers